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Beyond quantified self: data for wellbeing

Meyer, Jochen ORCID: 0000-0001-9265-4041, Simske, Steven ORCID: 0000-0002-6937-1956, Siek, Katie A. ORCID: 0000-0001-8632-2411, Gurrin, Cathal ORCID: 0000-0003-2903-3968 and Hermens, Hermie ORCID: 0000-0002-3065-3876 (2014) Beyond quantified self: data for wellbeing. In: Conference on Human Factors in Computing Systems. CHI ’14, 26 Apr-1 May 2014, Toronto, Canada. ISBN 978-1-4503-2474-8

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Abstract

Sustaining our health and wellbeing requires lifelong efforts for prevention and healthy living. Continuously observing ourselves is one of the fundamental measures to be taken. While many devices support monitoring and quantifying our health behavior and health state, they all are facing the same trade-off: the higher the data quality is the higher are the efforts of data acquisition. However, for lifelong use, minimizing efforts for the user is crucial. Nowadays, few devices find a good balance between cost and value. In this interdisciplinary workshop we discuss how this trade-off can be approached by addressing three topics: understanding the user’s information needs, exploring options for data acquisition, and discussing potential designs for life-long use.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:data analysis; user oriented design; wellbeing
Subjects:Computer Science > Multimedia systems
Computer Science > Lifelog
Medical Sciences > Health
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Published in: Extended Abstracts on Human Factors in Computing Systems CHI EA ’14. . Association for Computing Machinery (ACM). ISBN 978-1-4503-2474-8
Publisher:Association for Computing Machinery (ACM)
Official URL:https://doi.org/10.1145/2559206.2560469
Copyright Information:© 2014 The Authors
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:24718
Deposited On:01 Jul 2020 12:14 by Cathal Gurrin . Last Modified 15 Dec 2021 16:57

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